NDLI: Kalman tracking linear predictor for vowel intelligibility enhancement on european portuguese HMM based speech synthesis

Content Provider	IEEE Xplore Digital Library
Author	Coelho, L. Braga, D. Garcia-Mateo, C.
Copyright Year	2010
Description	Author affiliation: Microsoft Corporation, Microsoft Language Development Center, Lisbon, Portugal (Braga, D.) \|\| University of Vigo, Signal and Communications Theory Department, Spain (Garcia-Mateo, C.) \|\| Polytechnic Institute of Porto, ESEIG, Portugal (Coelho, L.)
Abstract	The recent developments on Hidden Markov Models (HMM) based speech synthesis showed that this is a promising technology fully capable of competing with other established techniques. However some issues still lack a solution. Several authors report an over-smoothing phenomenon on both time and frequencies which decreases naturalness and sometimes intelligibility. In this work we present a new vowel intelligibility enhancement algorithm that uses a discrete Kalman filter (DKF) for tracking frame based parameters. The inter-frame correlations are modelled by an autoregressive structure which provides an underlying time frame dependency and can improve time-frequency resolution. The system's performance has been evaluated using objective and subjective tests and the proposed methodology has led to improved results.
Starting Page	4734
Ending Page	4737
File Size	311930
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495168
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kalman filters Hidden Markov models Speech synthesis Speech analysis Sampling methods Spatial databases Natural languages Production systems Frequency domain analysis High temperature superconductors Speech intelligibility Kalman filtering
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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